AIMC Topic: Severity of Illness Index

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Machine learning for early detection and severity classification in people with Parkinson's disease.

Scientific reports Jan 2, 2025
Early detection of Parkinson's disease (PD) and accurate assessment of disease progression are critical for optimizing treatment and rehabilitation. However, there is no consensus on how to effectively detect early-stage PD and classify motor symptom...
Male Gait Analysis Middle Aged Walking Speed Humans Severity of Illness Index Machine Learning Case-Control Studies Parkinson Disease Female Walking Aged Gait Early Diagnosis
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Development of Time-Aggregated Machine Learning Model for Relapse Prediction in Pediatric Crohn's Disease.

Clinical and translational gastroenterology Jan 1, 2025
INTRODUCTION: Pediatric Crohn's disease (CD) easily progresses to an active disease compared with adult CD, making it important to predict and minimize CD relapses. However, prediction of relapse at various time points (TPs) during pediatric CD remai...
Prognosis Retrospective Studies Female Male Humans Machine Learning ROC Curve Predictive Value of Tests C-Reactive Protein Severity of Illness Index Crohn Disease Adolescent Recurrence Time Factors Child
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Knee osteoarthritis severity detection using deep inception transfer learning.

Computers in biology and medicine Dec 31, 2024
Osteoarthritis (OA) is a prevalent condition resulting in physical limitations. Early detection of OA is critical to effectively manage this condition. However, the diagnosis of early-stage arthritis remains challenging. The Kellgren and Lawrence (KL...
Female Aged Humans Male Severity of Illness Index Neural Networks, Computer Middle Aged Deep Learning Databases, Factual Radiographic Image Interpretation, Computer-Assisted Osteoarthritis, Knee
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Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

Physical and engineering sciences in medicine Dec 30, 2024
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center ...
Aged Male Middle Aged Severity of Illness Index Humans Machine Learning Retrospective Studies Female Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Myocardial Ischemia Angina, Stable Computed Tomography Angiography
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Screening prediction models using artificial intelligence for moderate-to-severe obstructive sleep apnea in patients with acute ischemic stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 24, 2024
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patien...
Predictive Value of Tests Ischemic Stroke Sleep Apnea, Obstructive Sleep Polysomnography Male Middle Aged Risk Assessment Severity of Illness Index Decision Support Techniques Female Risk Factors Humans Aged Artificial Intelligence Machine Learning
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A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

BMC pregnancy and childbirth Dec 24, 2024
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and mana...
Adult Risk Assessment Severity of Illness Index Cohort Studies Pregnancy Trimester, First Pregnancy Pre-Eclampsia Female Pregnancy Trimester, Second Parity Placenta Growth Factor Humans Risk Factors Machine Learning Prospective Studies Biomarkers
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Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach.

JMIR mental health Dec 23, 2024
BACKGROUND: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based ...
Male Middle Aged Depressive Disorder, Major Severity of Illness Index Humans Machine Learning Female Adult Speech Depression Sleep Deprivation
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A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach.

Computers in biology and medicine Dec 21, 2024
BACKGROUND: Changes in voice are a symptom of Parkinson's disease and used to assess the progression of the condition. However, natural differences in the voices of people can make this challenging. Computerized binary speech classification can ident...
Machine Learning Female Aged Male Middle Aged Humans Severity of Illness Index Speech Pilot Projects Parkinson Disease
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Humans Retrospective Studies Female Magnetic Resonance Imaging Liver Principal Component Analysis Area Under Curve Reference Standards Biopsy Aged Severity of Illness Index Elasticity Imaging Techniques Image Interpretation, Computer-Assisted Adult ROC Curve Echo-Planar Imaging Male Liver Cirrhosis Middle Aged Support Vector Machine
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Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Narra J Dec 19, 2024
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis s...
Psoriasis Humans Neural Networks, Computer Severity of Illness Index Deep Learning
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